https://github.com/dstein64/k-means-quantization-js

Apply color quantization to images using k-means clustering.
https://github.com/dstein64/k-means-quantization-js

clustering color-quantization kmeans-clustering machine-learning

Last synced: 9 months ago
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Apply color quantization to images using k-means clustering.

• Host: GitHub
• URL: https://github.com/dstein64/k-means-quantization-js
• Owner: dstein64
• License: mit
• Created: 2017-02-06T04:36:31.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2020-06-07T22:06:06.000Z (over 5 years ago)
• Last Synced: 2025-03-17T17:21:28.088Z (9 months ago)
• Topics: clustering, color-quantization, kmeans-clustering, machine-learning
• Language: JavaScript
• Homepage: https://dstein64.github.io/k-means-quantization-js/
• Size: 768 KB
• Stars: 37
• Watchers: 3
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
k-means Image Color Quantization

================================

*k-means Image Color Quantization* is a web page that can apply color

quantization to images using k-means clustering.

The code runs fully in the browser. That is, there are no server-side calls

to process the image and/or run the clustering and quantization. The

implementation is in JavaScript.

How To Use

----------

To quantize an image, navigate to index.html, load an image, select a value for

*k*, and click *Quantize*. The time to process increases with the size of the

image.

The page is available at

.

Screenshots

-----------

### Selection/Instructions

![Select](screenshots/select.png)

### Quantized Image

![Quantized](screenshots/quantized.png)

License

-------

The source code has an [MIT License](https://en.wikipedia.org/wiki/MIT_License).

See [LICENSE](LICENSE).